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Elon Musk explains the delay for Tesla’s autonomous coast-to-coast trip
Elon Musk has finally explained why the company ultimately delayed its 2017 plan for a coast-to-coast autonomous drive, and why he stands firm on Tesla’s three-pronged Autopilot approach for full self-driving over LiDAR technology.
During the Q&A portion of Tesla’s Q4 earnings call, Romit Jitendra Shah of Nomura Instinet asked Musk for any updates on the company’s plans for a fully autonomous coast-to-coast drive. Responding to the inquiry, the Musk explained that Tesla is focused on developing a full self-driving suite that would work on all roads under any conditions — something that would have been compromised had Tesla forced the feat last year.
“We could have done the coast-to-coast drive, but it would have required too much specialized code to effectively game it or make it somewhat brittle and that it would work for one particular route, but not the general solution. So I think we would be able to repeat it, but if it’s just not any other route, which is not really a true solution,” Musk said.
When asked about the timeline for the coast-to-coast autonomous drive, the Tesla CEO stated that it might happen in three months, or “six months at the outside.” Musk further stated that the feature would be available for Model S, X, and 3 customers who purchased the Full Self-Driving (FSD) upgrade for their vehicles. The CEO did not confirm, however, if the feature would be rolled out to customers immediately after the coast-to-coast drive is accomplished, or if customers would have to wait before being able to access the feature.
Perhaps the most interesting part of Musk’s statements about FSD, however, came from David Tamberrino of Goldman Sachs. During the Q&A session, Tamberrino asked Musk about his comments on LiDAR technology, a particularly prominent feature of Tesla’s rivals in the self-driving field. Responding to the inquiry, Musk was firm in his stance that LiDAR is not needed for Tesla’s vehicles to achieve fully autonomous driving, even going so far as to state that rivals being dependent on the technology might be making a grave mistake.
“In my view, it is a crutch that will drive companies to a local maximum that they will find very difficult to get out of. They’re going to have a whole bunch of expensive equipment, most of which makes the car expensive, ugly and unnecessary. And I think they will find themselves at a competitive disadvantage,”
Musk further explained that utilizing sophisticated radar equipment is a far better option for FSD. Tesla is steadfast in using its three-pronged approach featuring redundant forward cameras, forward radar, and near-field ultrasonics will be key to the eventual mastery of autonomous driving.
Musk reaffirmed his stance on using this technology, as it allows vehicles to “see” through snow, rain, dust, and fog — conditions that even experienced drivers find difficult to drive on. Overall, Musk stated that he is optimistic about the development of Tesla’s autonomous driving suite. While Tesla’s CEO admitted that progress has been slow, he asserted that when the company achieves FSD, it would be something truly remarkable.
“It’s also one of those things that’s kind of exponential where it doesn’t seem like much progress, and suddenly, ‘wow.’ It will seem like well this is a lame driver. (Then,) like okay, that’s a pretty good driver. (Then,) like holy cow, this driver’s good,” Musk said.
It’s worth noting that Musk also stated that his beliefs in FSD, LiDAR, and radar technology might be proven wrong in the future. Musk did assert, however, that he is confident in his belief that Tesla’s non-LiDAR approach is the correct way to go.
Now perhaps I am wrong. In which case, I’ll look like a fool. But I am quite certain that I am not,” Musk said.
In a lot of ways, Musk’s statements about LiDAR and the delayed autonomous coast-to-coast drive makes perfect sense. As we noted in a previous report, Tesla’s focus on FSD technology is quite different than its competitors, in the way that the company is attempting to create a system that works under any conditions in any location. The leaders in the field, such as Waymo and GM, on the other hand, are pursuing something different, creating a system that works perfectly in a pre-programmed, set route.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
